Review of Research Status of Autonomous Mobile Robot Environment Recognition and Path Planning Algorithms

  • Luxin Fan Universiti Putra Malaysia
  • Sai Hong Tang
  • Ruixin Zhao
  • Jiazheng Shen
  • Mohd Khairol Anuar b. Mohd Ariffin
  • Mohd Idris Shah b. Ismail


The convergence of Industry 4.0 and the challenges posed by the COVID-19 pandemic amplify the growth prospects and market reach of autonomous mobile robots. This paper elucidates the current research landscape and forward-looking trajectory concerning perception systems for autonomous mobile robots. It advocates a future-oriented development path grounded in the utilization of vision sensors and multi-sensor configurations to enhance environmental recognition. Addressing the imperative of bolstering environmental discernment in intricate settings remains a priority. An emerging area of interest pertains to terrain prediction algorithms. The ensuing section deliberates upon the merits and demerits intrinsic to distinct robot path planning algorithms. These algorithms can be categorized into global path planning algorithms, entrusted with charting optimal overarching courses, and local path planning algorithms, designed to navigate impediments and effect localized route refinements. Envisioning the future, the maturation of robot path planning algorithms is poised to embrace multi-algorithm collaborative applications.


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How to Cite
FAN, Luxin et al. Review of Research Status of Autonomous Mobile Robot Environment Recognition and Path Planning Algorithms. International Journal of Business and Technology Management, [S.l.], v. 5, n. 3, p. 396-407, sep. 2023. ISSN 2682-7646. Available at: <>. Date accessed: 13 june 2024.